Machine Learning Scientist - NLP - Senior Associate - Machine Learning Center of Excellence jobs in United States
cer-icon
Apply on Employer Site
company-logo

JPMorganChase · 6 hours ago

Machine Learning Scientist - NLP - Senior Associate - Machine Learning Center of Excellence

JPMorgan Chase is responsible for accelerating the firm’s data and analytics journey. As a Machine Learning Scientist - Natural Language Processing (NLP) - Senior Associate, you will apply advanced machine learning techniques to tackle complex challenges and collaborate with diverse teams to implement solutions in production.

Asset ManagementBankingFinancial Services
check
Growth Opportunities
check
H1B Sponsor Likelynote

Responsibilities

Research and explore new machine learning methods through independent study, attending industry-leading conferences, experimentation and participating in our knowledge sharing community
Develop state-of-the art machine learning models to solve real-world problems and apply it to tasks such as natural language processing (NLP), speech recognition and analytics, time-series predictions or recommendation systems
Collaborate with multiple partner teams such as Business, Technology, Product Management, Legal, Compliance, Strategy and Business Management to deploy solutions into production
Drive Firm wide initiatives by developing large-scale frameworks to accelerate the application of machine learning models across different areas of the business

Qualification

Natural Language ProcessingDeep LearningMachine LearningTensorFlowPyTorchBig DataAnalytical SkillsScientific ThinkingCommunication SkillsCollaboration

Required

PhD in a quantitative discipline, e.g. Computer Science, Electrical Engineering, Mathematics, Operations Research, Optimization, or Data Science Or an MS with at least 3 years of industry or research experience in the field
Solid background in NLP or speech recognition and analytics, personalization/recommendation and hands-on experience and solid understanding of machine learning and deep learning methods
Extensive experience with machine learning and deep learning toolkits (e.g.: TensorFlow, PyTorch, NumPy, Scikit-Learn, Pandas)
Ability to design experiments and training frameworks, and to outline and evaluate intrinsic and extrinsic metrics for model performance aligned with business goals
Experience with big data and scalable model training and solid written and spoken communication to effectively communicate technical concepts and results to both technical and business audiences
Scientific thinking with the ability to invent and to work both independently and in highly collaborative team environments
Solid written and spoken communication to effectively communicate technical concepts and results to both technical and business audiences
Curious, hardworking and detail-oriented, and motivated by complex analytical problems

Preferred

Strong background in Mathematics and Statistics and familiarity with the financial services industries and continuous integration models and unit test development
Knowledge in search/ranking, Reinforcement Learning or Meta Learning
Experience with A/B experimentation and data/metric-driven product development, cloud-native deployment in a large scale distributed environment and ability to develop and debug production-quality code
Published research in areas of Machine Learning, Deep Learning or Reinforcement Learning at a major conference or journal

Benefits

Comprehensive health care coverage
On-site health and wellness centers
A retirement savings plan
Backup childcare
Tuition reimbursement
Mental health support
Financial coaching

Company

JPMorganChase

company-logo
With a history tracing its roots to 1799 in New York City, JPMorganChase is one of the world's oldest, largest, and best-known financial institutions—carrying forth the innovative spirit of our heritage firms in global operations across 100 markets.

H1B Sponsorship

JPMorganChase has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (2855)
2024 (3469)
2023 (3395)
2022 (3594)
2021 (2515)
2020 (2495)

Funding

Current Stage
Public Company
Total Funding
unknown
1998-02-01IPO

Leadership Team

leader-logo
Allison Beer
CEO of Card Services and Connected Commerce
linkedin
leader-logo
Dan Mendelson
CEO, Morgan Health
linkedin
Company data provided by crunchbase